Causal Inference and Scientific Paradigms in EpidemiologyThis anthology of articles on causal inference and scientific paradigms in epidemiology covers several important topics including the search for causal explanations, the strengths and limitations of causal criteria, quantitative approaches for assessing causal relationships that are relevant to epidemiology and emerging paradigms in epidemiologic research. In order to provide historical context, an overview of philosophical and historical developments relevant to causal inference in epidemiology and public health is also provided. Several theoretical and applied aspects of causal inference are dealt with. The aim of this Ebook is not only to summarize important developments in causal inference in epidemiology but also to identify possible ways to enhance the search for causal explanations for diseases and injuries. Examples are provided from such fields as chronic disease epidemiology, Veterans health, and environmental epidemiology. A particular goal of the Ebook is to provide ideas for strengthening causal inference in epidemiology in the context of refined research paradigms. These topics are important because the results of epidemiologic studies contribute to generalizable knowledge by clarifying the causes of diseases, by combining epidemiologic data with information from other disciplines (for example, psychology and industrial hygiene), by evaluating the consistency of epidemiologic data with etiological hypotheses about causation, and by providing the basis for evaluating procedures for health promotion and prevention and public health practices. |
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Causal Inference and Scientific Paradigms in Epidemiology Steven S. Coughlin No preview available - 2010 |
Common terms and phrases
adverse drug reactions approaches to causal Austin Bradford Hill behaviors biologic plausibility black box Bradford Hill criteria cancer causal criteria Causal diagrams causal inference causal modeling causal relationships Causation in epidemiology CHD risk Chinese boxes chronic diseases complex causation concept coronary heart disease Coughlin SS counterfactual model criteria for causal deterministic models Diez Roux disease causation eco-epidemiology Epidemiol Commun Health epidemiologic research epidemiologic studies epidemiology subdisciplines example gene-environment interactions genetic epidemiology Glass and McAtee Greenland group-level variables guidelines individual individual-level inductive inference in epidemiology Krieger literature on causal metaphor model of causation models of disease Multilevel analysis nutritional epidemiology outcome of interest paradigms in epidemiology pharmacoepidemiology philosophers population probabilistic causation probabilistic model propensity score public health quantitative models research paradigms risk factors risk regulators Rothman scientific paradigms social epidemiology societal structural equations modeling sufficient component causes Susser and Susser theory of causality traumatic brain injury values Weed DL